CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Guided Image Filter and Adaptive Histogram Specification based DBLA for Enhancing Remotely Sensed Images

by Richa Bhatia, Jagdeep Singh Aulakh
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 125 - Number 13
Year of Publication: 2015
Authors: Richa Bhatia, Jagdeep Singh Aulakh
10.5120/ijca2015906162

Richa Bhatia, Jagdeep Singh Aulakh . Guided Image Filter and Adaptive Histogram Specification based DBLA for Enhancing Remotely Sensed Images. International Journal of Computer Applications. 125, 13 ( September 2015), 17-22. DOI=10.5120/ijca2015906162

@article{ 10.5120/ijca2015906162,
author = { Richa Bhatia, Jagdeep Singh Aulakh },
title = { Guided Image Filter and Adaptive Histogram Specification based DBLA for Enhancing Remotely Sensed Images },
journal = { International Journal of Computer Applications },
issue_date = { September 2015 },
volume = { 125 },
number = { 13 },
month = { September },
year = { 2015 },
issn = { 0975-8887 },
pages = { 17-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume125/number13/22492-2015906162/ },
doi = { 10.5120/ijca2015906162 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:15:57.450109+05:30
%A Richa Bhatia
%A Jagdeep Singh Aulakh
%T Guided Image Filter and Adaptive Histogram Specification based DBLA for Enhancing Remotely Sensed Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 125
%N 13
%P 17-22
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The fundamental reason of contrast enhancement is to bring out detail that is hidden in an image that is covered up in a picture or to expand contrast in a low contrast picture. This paper presents a literature survey on some of the image Enhancement techniques for improving images like histogram equalization, global histogram equalization, bi-histogram equalization, dualistic sub-image histogram equalization, Spatial Domain Method and Frequency Domain Method etc. The overall objective of this paper is to evaluate the short comings in earlier techniques of image enhancement.

References
  1. Aimi Salihah, A. N., M. Y. Mashor, Nor Hazlyna Harun, Azian Azamimi Abdullah, and H. Rosline. "Improving colour image segmentation on acute myelogenous leukaemia images using contrast enhancement techniques." In Biomedical Engineering and Sciences (IECBES), 2010 IEEE EMBS Conference on, pp. 246-251. IEEE, 2010.
  2. Anbarjafari, Gholamreza, Adam Jafari, Mohammad Naser Sabet Jahromi, Cagri Ozcinar, and Hasan Demirel. "Image illumination enhancement with an objective no-reference measure of illumination assessment based on Gaussian distribution mapping." Engineering Science and Technology, an International Journal (2015).
  3. Sundaram, M., K. Ramar, N. Arumugam, and G. Prabin. "Histogram based contrast enhancement for mammogram images." In Signal Processing, Communication, Computing and Networking Technologies (ICSCCN), 2011 International Conference on, pp. 842-846. IEEE, 2011.
  4. Akila, K., L. S. Jayashree, and A. Vasuki. "Mammographic Image Enhancement Using Indirect Contrast Enhancement Techniques–A Comparative Study." Procedia Computer Science 47 (2015): 255-261.
  5. Ke, Wei-Ming, Chih-Rung Chen, and Ching-Te Chiu. "BiTA/SWCE: Image enhancement with bilateral tone adjustment and saliency weighted contrast enhancement." Circuits and Systems for Video Technology, IEEE Transactions on 21, no. 3 (2011): 360-364.
  6. Liu, Xiwen. "An Improved Image Enhancement Algorithm Based on Fuzzy Set." Physics Procedia 33 (2012): 790-797.
  7. Jha, Rajib Kumar, Rajlaxmi Chouhan, and P. K. Biswas. "Noise-induced contrast enhancement of dark images using non-dynamic stochastic resonance." In Communications (NCC), 2012 National Conference on, pp. 1-5. IEEE, 2012.
  8. Jadhav, B. D., and P. M. Patil. "Satellite Image Resolution Enhancement Using Dyadic-integer Coefficients Based Bi-orthogonal Wavelet Filters." Procedia Computer Science 49 (2015): 17-23.
  9. Xu, Hongteng, Guangtao Zhai, and Xiaokang Yang. "No reference measurement of contrast distortion and optimal contrast enhancement." InPattern Recognition (ICPR), 2012 21st International Conference on, pp. 1981-1984. IEEE, 2012.
  10. Verbesselt, Jan, Achim Zeileis, and Martin Herold. "Near real-time disturbance detection using satellite image time series." Remote Sensing of Environment123 (2012): 98-108.
  11. Chouhan, Rajlaxmi, Rajib Kumar Jha, and Prabir Kumar Biswas. "Enhancement of dark and low-contrast images using dynamic stochastic resonance." IET Image Processing 7, no. 2 (2013): 174-184.
  12. Petitjean, François, Jordi Inglada, and Pierre Gançarski. "Satellite image time series analysis under time warping." Geoscience and Remote Sensing, IEEE Transactions on 50, no. 8 (2012): 3081-3095.
  13. Reshmalakshmi, C., and M. Sasikumar. "Image contrast enhancement using fuzzy technique." In Circuits, Power and Computing Technologies (ICCPCT), 2013 International Conference on, pp. 861-865. IEEE, 2013.
  14. Song, Weiwei, Dunwei Wen, Ke Wang, Tong Liu, and Mujun Zang. "Satellite image scene classification using spatial information." In Sixth International Conference on Graphic and Image Processing (ICGIP 2014), pp. 94431K-94431K. International Society for Optics and Photonics, 2015.
  15. Maragatham, G., and S. Md Mansoor Roomi. "An automatic contrast enhancement method based on stochastic resonance." In 2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT), pp. 1-7. IEEE, 2013.
  16. McRoberts, Ronald E. "Satellite image-based maps: Scientific inference or pretty pictures?." Remote Sensing of Environment 115, no. 2 (2011): 715-724.
  17. Cao, Gang, Yao Zhao, Rongrong Ni, and Xuelong Li. "Contrast enhancement-based forensics in digital images." Information Forensics and Security, IEEE Transactions on 9, no. 3 (2014): 515-525.
  18. Iqbal, Muhammad Zafar, Abdul Ghafoor, and Adil Masood Siddiqui. "Satellite image resolution enhancement using dual-tree complex wavelet transform and nonlocal means." Geoscience and Remote Sensing Letters, IEEE 10, no. 3 (2013): 451-455.
Index Terms

Computer Science
Information Sciences

Keywords

Contrast Enhancement HE

Powered by PhDFocusTM